r-bioc-limma 3.42.2+dfsg-1 source package in Ubuntu

Changelog

r-bioc-limma (3.42.2+dfsg-1) unstable; urgency=medium

  * Team upload.

  [ Steffen Moeller ]
  * r-bioc-go.db is now in the distribution, deactivated patch
    that circumvented testing against it.
  * Added a bit to the description.

  [ Dylan Aïssi ]
  * New upstream version

 -- Dylan Aïssi <email address hidden>  Sat, 08 Feb 2020 07:27:52 +0100

Upload details

Uploaded by:
Debian R Packages Maintainers
Uploaded to:
Sid
Original maintainer:
Debian R Packages Maintainers
Architectures:
any
Section:
gnu-r
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section

Downloads

File Size SHA-256 Checksum
r-bioc-limma_3.42.2+dfsg-1.dsc 2.1 KiB 43787509cf7d75c6c1952c79e5e456b69e26df497bfe6793edc0557d994c4b99
r-bioc-limma_3.42.2+dfsg.orig.tar.xz 312.6 KiB eb154304ccdfdba3c3bbb3d82df3ac1d6d0e7608fb1f5cfdd968907a4bea4d64
r-bioc-limma_3.42.2+dfsg-1.debian.tar.xz 7.2 KiB d22368c4f683e43951ec0663f4d48bc22efe6bc21e185afa1c6a0a3e411e2058

Available diffs

No changes file available.

Binary packages built by this source

r-bioc-limma: linear models for microarray data

 Microarrays are microscopic plates with carefully arranged short DNA
 strands and/or chemically prepared surfaces to which other DNA
 preferably binds. The amount of DNA binding at different locations of
 these chips, typically determined by a fluorescent dye, is to be
 interpreted. The technology is typically used with DNA that is derived
 from RNA, i.e to determine the activity of a gene and/or its splice
 variants. But the technology is also used to determine sequence
 variations in genomic DNA.
 .
 This Bioconductor package supports the analysis of gene expression
 microarray data, especially the use of linear models for analysing
 designed experiments and the assessment of differential expression. The
 package includes pre-processing capabilities for two-colour spotted
 arrays. The differential expression methods apply to all array platforms
 and treat Affymetrix, single channel and two channel experiments in a
 unified way.

r-bioc-limma-dbgsym: debug symbols for r-bioc-limma